Shangqi Lai

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

2022 · IEEE Transactions on Dependable and Secure Computing

Federated learning has recently emerged as a paradigm promising the benefits of harnessing rich data from diverse sources to train high quality models, with the salient features that training datasets never leave local devices. Only …